Evidence map›Paper›PMID 38855092›Full record

ArticleJournal of cognition2024

Evidence for Automatic, Stimulus Driven, Arithmetic Processing of Single-digit Multiplication Problems.

Eldad Keha, Daria Klotsvog, Sarit Ashkenazi, Eyal Kalanthroff

Abstract read
In one paragraph

Article in Journal of cognition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Eldad KehaDepartment of Psychology, The Hebrew University of Jerusalem, Jerusalem, Israel.ORCID https://orcid.org/0000-0003-1015-6626
Daria KlotsvogDepartment of Psychology, The Hebrew University of Jerusalem, Jerusalem, Israel.
Sarit AshkenaziThe Seymour Fox School of Education, The Hebrew University of Jerusalem, Jerusalem, Israel.ORCID https://orcid.org/0000-0002-4343-4824
Eyal KalanthroffDepartment of Psychology, The Hebrew University of Jerusalem, Jerusalem, Israel.ORCID https://orcid.org/0000-0001-9759-4666

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Certain stimuli can automatically trigger different behaviors in a stimulus-driven manner. To investigate whether mathematical equations automatically trigger the tendency to engage in arithmetic processing, we asked whether the presentation of multiplication equations in an irrelevant dimension can trigger the automatic task of arithmetic processing and if so, which processes are involved. To that end, we employed a color-naming task in which participants had to name the color of different stimuli, such as: mathematical equations (e.g., 4 × 6 = 24), neutral-symbols (e.g., ####), neutral-words (e.g., building), and same-number strings (e.g., 11111), which appeared as one of four different colors. We found that mathematical equations and regular words in the irrelevant dimension triggered more task conflict (i.e., color naming's reaction time was longer) as compared to same-number strings. In addition, we found evidence for the automatic activation of different numerical processes; such that large-size equations (7 × 9 = 63) triggered more conflict as compared with small-size (2 × 3 = 6) equations and same-parity incorrect equations (3 × 2 = 8) triggered more conflict as compared to different-parity incorrect equations (4 × 2 = 9). We found no evidence indicating a distinction between the correct and incorrect equations. We discussed the relevance of the findings to the automaticity of arithmetic abilities and other domains in numerical cognition.

Indexed as

automaticitynumerical cognitionselective attentionStimulus-driven behaviortask conflict

Identifiers

PMID38855092
PMCPMC11160399

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.